Research
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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,932 papers · 148 categories

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2 results for “SCMA”
A Novel Deep Neural Network Based Approach for Sparse Code Multiple Accesseess.SP

Deep learning improves SCMA decoding and codebook construction for 5G wireless networks.

problem Designing low complexity high accuracy decoding algorithms and constructing optimal SCMA codebooks.
method Proposed a deep neural network (DNN) called DL-SCMA and an autoencoder (AE-SCMA) to learn and reconstruct SCMA modulated signals.
result Deep learning SCMA decoder outperforms conventional algorithms in BER, SER, and computational complexity.
Deep LearningSCMANOMAAutoencoder5G
2019-06-04abs ↗pdf ↗
The Stock Price Relationship between Holding Companies and Subsidiaries: A Case study of Indonesia Multiholding Companiesq-fin.TR

Study examines stock price correlations between Indonesian holding companies and their subsidiaries.

problem Understanding stock price relationships between holding companies and their subsidiaries.
method Spearman correlation analysis over 2013-2022, focusing on MNC Group and Emtek Group.
result Varying degrees of correlation between holding companies and their subsidiaries, with some showing inverse relationships.
stock price correlationholding companiessubsidiariesMNC GroupEmtek Group
2023-03-13abs ↗pdf ↗